Artificial Neural Networks in Pattern Recognition

<p>A Decorrelation Approach for Pruning of Multilayer Perceptron Networks.- Entity Recognition.- Incremental Feature Selection by Block Addition and Block Deletion Using Least Squares SVRs.- Low-dimensional Data Representation in Data Analysis.- Analyzing dynamic ensemble selection techniques using dissimilarity Analysis.- Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling.- Majority-Class aware Support Vector Domain Oversampling for Imbalanced Classification Problems.- Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data.- Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams: Combining Bipartite Graph Matching and Beam Search for Graph Edit Distance Approximation.- Computing Upper and Lower Bounds of Graph Edit Distance in Cubic Time.- Linear contrast classifiers in high-dimensional spaces.- A new multi-class fuzzy support vector machine algorithm.- A reinforcement learning algorithm to train a Tetris playing agent.- Bio-inspired optic ow from event-based neuromorphic sensor input.- Comparative Study of Feature Selection for White Blood Cell End-Shape Recognition for Arabic Handwritten Text Segmentation.- Intelligent Ensemble Systems for Modeling NASDAQ Microstructure: A Comparative Study.- Face Recognition based on Discriminative Dictionary with Multilevel Feature Fusion.- Ensembles in Ubiquitous Healthcare Systems.</p>